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#
# cyclictest.py - object to manage a cyclictest executable instance
#
# Copyright 2009 - 2012 Clark Williams <williams@redhat.com>
# Copyright 2012 David Sommerseth <davids@redhat.com>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
#
# For the avoidance of doubt the "preferred form" of this code is one which
# is in an open unpatent encumbered format. Where cryptographic key signing
# forms part of the process of creating an executable the information
# including keys needed to generate an equivalently functional executable
# are deemed to be part of the source code.
#
import os, sys, subprocess, signal, libxml2
from rteval.Log import Log
from rteval.modules import rtevalModulePrototype
class RunData(object):
'''class to keep instance data from a cyclictest run'''
def __init__(self, id, type, priority, logfnc):
self.id = id
self.type = type
self.priority = int(priority)
self.description = ''
# histogram of data
self.samples = {}
self.numsamples = 0
self.min = 100000000
self.max = 0
self.stddev = 0.0
self.mean = 0.0
self.mode = 0.0
self.median = 0.0
self.range = 0.0
self.mad = 0.0
self.variance = 0.0
self._log = logfnc
def sample(self, value):
self.samples[value] += self.samples.setdefault(value, 0) + 1
if value > self.max: self.max = value
if value < self.min: self.min = value
self.numsamples += 1
def bucket(self, index, value):
self.samples[index] = self.samples.setdefault(index, 0) + value
if value and index > self.max: self.max = index
if value and index < self.min: self.min = index
self.numsamples += value
def reduce(self):
import math
# check to see if we have any samples and if we
# only have 1 (or none) set the calculated values
# to zero and return
if self.numsamples <= 1:
self._log(Log.DEBUG, "skipping %s (%d samples)" % (self.id, self.numsamples))
self.variance = 0
self.mad = 0
self.stddev = 0
return
self._log(Log.INFO, "reducing %s" % self.id)
total = 0
keys = self.samples.keys()
keys.sort()
sorted = []
mid = self.numsamples / 2
# mean, mode, and median
occurances = 0
lastkey = -1
for i in keys:
if mid > total and mid <= (total + self.samples[i]):
if self.numsamples & 1 and mid == total+1:
self.median = (lastkey + i) / 2
else:
self.median = i
total += (i * self.samples[i])
if self.samples[i] > occurances:
occurances = self.samples[i]
self.mode = i
self.mean = float(total) / float(self.numsamples)
# range
for i in keys:
if self.samples[i]:
low = i
break
high = keys[-1]
while high and self.samples[high] == 0:
high -= 1
self.range = high - low
# Mean Absolute Deviation and Variance
madsum = 0
varsum = 0
for i in keys:
madsum += float(abs(float(i) - self.mean) * self.samples[i])
varsum += float(((float(i) - self.mean) ** 2) * self.samples[i])
self.mad = madsum / self.numsamples
self.variance = varsum / (self.numsamples - 1)
# standard deviation
self.stddev = math.sqrt(self.variance)
def MakeReport(self):
rep_n = libxml2.newNode(self.type)
if self.type == 'system':
rep_n.newProp('description', self.description)
else:
rep_n.newProp('id', str(self.id))
rep_n.newProp('priority', str(self.priority))
stat_n = rep_n.newChild(None, 'statistics', None)
stat_n.newTextChild(None, 'samples', str(self.numsamples))
n = stat_n.newTextChild(None, 'minimum', str(self.min))
n.newProp('unit', 'us')
n = stat_n.newTextChild(None, 'maximum', str(self.max))
n.newProp('unit', 'us')
n = stat_n.newTextChild(None, 'mediam', str(self.median))
n.newProp('unit', 'us')
n = stat_n.newTextChild(None, 'mode', str(self.mode))
n.newProp('unit', 'us')
n = stat_n.newTextChild(None, 'range', str(self.range))
n.newProp('unit', 'us')
n = stat_n.newTextChild(None, 'mean', str(self.mean))
n.newProp('unit', 'us')
n = stat_n.newTextChild(None, 'mean_absolute_deviation', str(self.mad))
n.newProp('unit', 'us')
n = stat_n.newTextChild(None, 'variance', str(self.variance))
n.newProp('unit', 'us')
n = stat_n.newTextChild(None, 'standard_deviation', str(self.stddev))
n.newProp('unit', 'us')
hist_n = rep_n.newChild(None, 'histogram', None)
hist_n.newProp('nbuckets', str(len(self.samples)))
keys = self.samples.keys()
keys.sort()
for k in keys:
b_n = hist_n.newChild(None, 'bucket', None)
b_n.newProp('index', str(k))
b_n.newProp('value', str(self.samples[k]))
return rep_n
class Cyclictest(rtevalModulePrototype):
def __init__(self, config, logger=None):
rtevalModulePrototype.__init__(self, 'measurement', 'cyclictest', logger)
self.__cfg = config
# Create a RunData object per CPU core
f = open('/proc/cpuinfo')
self.__numanodes = int(self.__cfg.setdefault('numanodes', 0))
self.__priority = int(self.__cfg.setdefault('priority', 95))
self.__buckets = int(self.__cfg.setdefault('buckets', 2000))
self.__distance = int(self.__cfg.setdefault('distance', 25))
self.__numcores = 0
self.__cyclicdata = {}
for line in f:
if line.startswith('processor'):
core = line.split()[-1]
self.__cyclicdata[core] = RunData(core, 'core',self.__priority,
logfnc=self._log)
self.__numcores += 1
if line.startswith('model name'):
desc = line.split(': ')[-1][:-1]
self.__cyclicdata[core].description = ' '.join(desc.split())
f.close()
# Create a RunData object for the overall system
self.__cyclicdata['system'] = RunData('system', 'system', self.__priority,
logfnc=self._log)
self.__cyclicdata['system'].description = ("(%d cores) " % self.__numcores) + self.__cyclicdata['0'].description
self._log(Log.DEBUG, "system has %d cpu cores" % self.__numcores)
self.__started = False
def __getmode(self):
if self.__numanodes > 1:
self._log(Log.DEBUG, "running in NUMA mode (%d nodes)" % self.__numanodes)
return '--numa'
self._log(Log.DEBUG, "running in SMP mode")
return '--smp'
def _WorkloadSetup(self):
self.__cyclicprocess = None
pass
def _WorkloadBuild(self):
self._setReady()
def _WorkloadPrepare(self):
if self.__cfg.has_key('interval'):
self.__interval = '-i%d' % int(self.__cfg.interval)
self.__cmd = ['cyclictest',
self.__interval,
'-qm',
'-d%d' % self.__distance,
'-h %d' % self.__buckets,
"-p%d" % int(self.__priority),
self.__getmode(),
]
if self.__cfg.has_key('threads') and __cfg.threads:
self.__cmd.append("-t%d" % int(self.__cfg.threads))
def _WorkloadTask(self):
if self.__started:
# Don't restart cyclictest if it is already runing
return
self._log(Log.DEBUG, "starting with cmd: %s" % " ".join(self.__cmd))
self.__nullfp = os.open('/dev/null', os.O_RDWR)
self.__cyclicprocess = subprocess.Popen(self.__cmd,
stdout=subprocess.PIPE,
stderr=self.__nullfp,
stdin=self.__nullfp)
self.__started = True
def WorkloadAlive(self):
if self.__started:
return self.__cyclicprocess.poll() is None
else:
return False
def _WorkloadCleanup(self):
if self.__cyclicprocess.poll() == None:
os.kill(self.__cyclicprocess.pid, signal.SIGINT)
# now parse the histogram output
for line in self.__cyclicprocess.stdout:
if line.startswith('#'): continue
vals = line.split()
index = int(vals[0])
for i in range(0, len(self.__cyclicdata)-1):
if str(i) not in self.__cyclicdata: continue
self.__cyclicdata[str(i)].bucket(index, int(vals[i+1]))
self.__cyclicdata['system'].bucket(index, int(vals[i+1]))
for n in self.__cyclicdata.keys():
self.__cyclicdata[n].reduce()
self._setFinished()
self.__started = False
os.close(self.__nullfp)
del self.__nullfp
def MakeReport(self):
rep_n = libxml2.newNode('cyclictest')
rep_n.newProp('command_line', ' '.join(self.__cmd))
rep_n.addChild(self.__cyclicdata["system"].MakeReport())
for thr in range(0, self.__numcores):
if str(thr) not in self.__cyclicdata:
continue
rep_n.addChild(self.__cyclicdata[str(thr)].MakeReport())
return rep_n
def ModuleInfo():
return {"parallel": True,
"loads": True}
def create(params, logger):
return Cyclictest(params, logger)
if __name__ == '__main__':
c = CyclicTest()
c.run()
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